Methods and Results Reporting That SCI and SSCI Reviewers Expect

Reviewers rarely reject a paper because the writing is dull. They reject it because they cannot verify what was done or cannot trust what was found. Both failures live in the methods and results sections, and both are fixable before submission, because what reviewers expect is written down in reporting guidelines and visible in every recent article of your target journal. This guide sets out the methods and results reporting SCI and SSCI reviewers expect, what each index weighs most, and the items whose absence triggers a major revision.

The reproducibility standard

The methods section has one test: could a competent researcher in your field repeat the study from your description and expect a similar result? Everything that would be needed for that repetition belongs in the section or its supplement. Everything that would not is filler. Write it in the past tense, in the order the study was done, with subheadings that match the journal's convention.

Our post on how to justify your sample size covers the item reviewers challenge most, and how to handle missing data covers the item authors forget most.

What SCI reviewers weigh most

Precision and controls. SCI reviewers check that variables were measured with stated accuracy, that controls or comparison conditions rule out the obvious alternatives, that replicates are reported, and that the statistics match the design. They expect a reporting guideline to have been followed where one exists: CONSORT for trials, STROBE for observational studies, PRISMA for reviews, ARRIVE for animal studies, and discipline-specific checklists elsewhere. Our post on CONSORT, STROBE and PRISMA explains which applies.

What SSCI reviewers weigh most

Validity of constructs and adequacy of design. SSCI reviewers ask whether the scales measure what they claim, whether the sample can support the generalisation, whether common method bias was addressed, and whether the analysis (regression, SEM, thematic analysis, case comparison) is justified and reported to the field's standard. For quantitative work this means reliability and validity statistics in your sample, model fit indices with thresholds, and effect sizes. For qualitative work it means a transparent account of sampling, coding and trustworthiness. See SEM and CFA reporting, reliability and validity and trustworthiness in qualitative research.

Results: report, do not interpret

The results section presents what was found, in the order of the research questions or hypotheses, without saying what it means. Every "this suggests" or "this confirms" belongs in the discussion. Reviewers in both indexes look for the same reporting elements.

1. Descriptive statistics first.Sample characteristics and variable summaries in a table, so the reader can judge the data before the tests.
2. Each hypothesis or question answered in sequence.Test statistic, degrees of freedom, p value, effect size and confidence interval, in the journal's format.
3. Tables and figures that stand alone.Titles that state what is shown, full labels, units, notes with abbreviations and significance markers. A reviewer should understand each without the text.
4. Negative and null findings reported.Omitting them is a red flag. State them plainly and move on.
5. Text and tables consistent.The number in the sentence matches the number in the table. Reviewers check.

Our posts on how to write the results section and what goes in results versus discussion cover the boundary, and publication-quality figures and tables covers presentation.

The items whose absence triggers major revision

A management team that restructured its methods and theoretical reporting after three rejections was accepted in an SSCI journal after a major revision completed under an 11-day deadline. Read the case study → A higher education team with CFA and SEM analysis reached acceptance in Scientific Reports in under five months. Read the case study →

The SCI and SSCI writing roadmap shows where methods and results sit in the reverse-order method. For methodology-level support, our editors include SEM, CFA and mixed-methods specialists; see Manuscript Preparation Support and the methodology section guide.

Qualitative and mixed methods: the reporting reviewers expect

SSCI reviewers of qualitative work do not ask for reproducibility in the experimental sense. They ask for transparency: how participants were chosen and why that many, how data were generated (interview guide, duration, recording), how analysis proceeded (coding approach, software, who coded, how disagreements were resolved), and how trustworthiness was established (member checking, audit trail, reflexivity). Results are then presented as themes with representative quotations, not as counts. For mixed methods, reviewers additionally expect the integration point to be explicit: where and how the two strands were combined and what the combination added. See qualitative research for journal publication, mixed methods structure and how to present qualitative findings.

Supplementary material: what to move out of the main text

Most SCI and SSCI journals accept supplementary files, and reviewers appreciate a main text that stays within limits. Move to the supplement: full instruments or interview guides, extended descriptive tables, robustness checks that confirm the main analysis, code and data availability details, and reporting guideline checklists. Keep in the main text: everything a reader needs to understand and judge the primary result. Refer to each supplementary item at the point it is relevant, so reviewers know it exists.